Data

Model

1. Balance data because only 10% of observations have fires

2. Preprocess data (floats standardized and categories encoded)

3. Estimate with XGBoost Classifier (a sequential tree classifier)

Model score?

Recall score: 10%

Precision score: 10%

Recall score: 79%

Precision score: 42%

Web App

Web App